Literature DB >> 25841361

Evaluation of three-dimensional printing for laparoscopic partial nephrectomy of renal tumors: a preliminary report.

Yi Zhang1, Hong-wei Ge2, Ning-chen Li2, Cheng-fan Yu2, Hong-feng Guo2, Shi-hua Jin2, Jin-shun Liu2, Yan-qun Na2.   

Abstract

OBJECTIVES: To investigate the impact of three-dimensional (3D) printing on the surgical planning, potential of training and patients' comprehension of minimally invasive surgery for renal tumors.
METHODS: Patients of a T1N0M0 single renal tumor and indicated for laparoscopic partial nephrectomy were selected. CT data were sent for post-processing and output to the 3D printer to create kidney models with tumor. By presenting to experienced laparoscopic urologists and patients, respectively, the models' realism, effectiveness for surgical planning and training, and patients' comprehension of disease and procedure were evaluated with plotted questionnaires (10-point rating scales, 1-not at all useful/not at all realistic/poor, 10-very useful/very realistic/excellent). The size of resected tumors was compared with that on the models.
RESULTS: Ten kidney models of such patients were fabricated successfully. The overall effectiveness in surgical planning and training (7.8 ± 0.7-8.0 ± 1.1), and realism (6.0 ± 0.6-7.8 ± 1.0) were reached by four invited urologists. Intraoperative correlation was advocated by the two performing urologists. Patients were fascinated with the demonstration of a tactile "diseased organ" (average ≥ 9.0). The size deviation was 3.4 ± 1.3 mm.
CONCLUSIONS: Generating kidney models of T1N0M0 tumors with 3D printing are feasible with refinements to be performed. Face and content validity was obtained when those models were presented to experienced urologists for making practical planning and training. Understandings of the disease and procedure from patients were well appreciated with this novel technology.

Entities:  

Keywords:  Laparoscopic partial nephrectomy; Renal tumor; Surgeon-patient communications; Surgical planning; Surgical training; Three-dimensional (3D) printing

Mesh:

Year:  2015        PMID: 25841361     DOI: 10.1007/s00345-015-1530-7

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  13 in total

1.  A novel combination of printed 3-dimensional anatomic templates and computer-assisted surgical simulation for virtual preoperative planning in Charcot foot reconstruction.

Authors:  Nicholas A Giovinco; S Patrick Dunn; Leslie Dowling; Clifford Smith; Larry Trowell; John A Ruch; David G Armstrong
Journal:  J Foot Ankle Surg       Date:  2012-02-24       Impact factor: 1.286

2.  Precision of implant placement with stereolithographic templates: a pilot in vitro study.

Authors:  Hakan Bilhan; Selda Arat; Emre Mumcu; Onur Geckili; Olcay Sakar
Journal:  J Oral Implantol       Date:  2010-12-02       Impact factor: 1.779

3.  Importance of patient-specific intraoperative guides in complex maxillofacial reconstruction.

Authors:  Dennis Rohner; Raquel Guijarro-Martínez; Peter Bucher; Beat Hammer
Journal:  J Craniomaxillofac Surg       Date:  2012-12-08       Impact factor: 2.078

4.  Three-dimensional printing of models for surgical planning in patients with primary cardiac tumors.

Authors:  Daniel Schmauss; Nicolas Gerber; Ralf Sodian
Journal:  J Thorac Cardiovasc Surg       Date:  2013-01-09       Impact factor: 5.209

5.  Computer-aided design and manufacturing in craniomaxillofacial surgery: the new state of the art.

Authors:  Jamie P Levine; Ashish Patel; Pierre B Saadeh; David L Hirsch
Journal:  J Craniofac Surg       Date:  2012-01       Impact factor: 1.046

6.  Three-dimensional print of a liver for preoperative planning in living donor liver transplantation.

Authors:  Nizar N Zein; Ibrahim A Hanouneh; Paul D Bishop; Maggie Samaan; Bijan Eghtesad; Cristiano Quintini; Charles Miller; Lisa Yerian; Ryan Klatte
Journal:  Liver Transpl       Date:  2013-10-21       Impact factor: 5.799

7.  Preoperative three-dimensional model creation of magnetic resonance brain images as a tool to assist neurosurgical planning.

Authors:  B S Spottiswoode; D J van den Heever; Y Chang; S Engelhardt; S Du Plessis; F Nicolls; H B Hartzenberg; A Gretschel
Journal:  Stereotact Funct Neurosurg       Date:  2013-02-27       Impact factor: 1.875

8.  Rapid prototyping in the assessment, classification and preoperative planning of acetabular fractures.

Authors:  C Hurson; A Tansey; B O'Donnchadha; P Nicholson; J Rice; J McElwain
Journal:  Injury       Date:  2007-09-19       Impact factor: 2.586

9.  How useful and realistic is the uro trainer for training transurethral prostate and bladder tumor resection procedures?

Authors:  Barbara M A Schout; Bart L H Bemelmans; Elisabeth J Martens; Albert J J A Scherpbier; Ad J M Hendrikx
Journal:  J Urol       Date:  2009-01-18       Impact factor: 7.450

10.  Rapid prototyping compliant arterial phantoms for in-vitro studies and device testing.

Authors:  Giovanni Biglino; Peter Verschueren; Raf Zegels; Andrew M Taylor; Silvia Schievano
Journal:  J Cardiovasc Magn Reson       Date:  2013-01-16       Impact factor: 5.364

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  32 in total

1.  3D imaging applications for robotic urologic surgery: an ESUT YAUWP review.

Authors:  Enrico Checcucci; Daniele Amparore; Cristian Fiori; Matteo Manfredi; Morra Ivano; Michele Di Dio; Gabriel Niculescu; Federico Piramide; Giovanni Cattaneo; Pietro Piazzolla; Giovanni Enrico Cacciamani; Riccardo Autorino; Francesco Porpiglia
Journal:  World J Urol       Date:  2019-08-27       Impact factor: 4.226

Review 2.  Surgical applications of three-dimensional printing: a review of the current literature & how to get started.

Authors:  Don Hoang; David Perrault; Milan Stevanovic; Alidad Ghiassi
Journal:  Ann Transl Med       Date:  2016-12

Review 3.  [Imaging in individualized uro-oncology].

Authors:  J Bründl; J Breyer; M Burger
Journal:  Urologe A       Date:  2018-09       Impact factor: 0.639

4.  3D printed renal cancer models derived from MRI data: application in pre-surgical planning.

Authors:  Nicole Wake; Temitope Rude; Stella K Kang; Michael D Stifelman; James F Borin; Daniel K Sodickson; William C Huang; Hersh Chandarana
Journal:  Abdom Radiol (NY)       Date:  2017-05

5.  Do 3D Printing Models Improve Anatomical Teaching About Hepatic Segments to Medical Students? A Randomized Controlled Study.

Authors:  Xiangxue Kong; Lanying Nie; Huijian Zhang; Zhanglin Wang; Qiang Ye; Lei Tang; Wenhua Huang; Jianyi Li
Journal:  World J Surg       Date:  2016-08       Impact factor: 3.352

6.  Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists' and patients' perception.

Authors:  Francesco Porpiglia; Riccardo Bertolo; Enrico Checcucci; Daniele Amparore; Riccardo Autorino; Prokar Dasgupta; Peter Wiklund; Ashutosh Tewari; Evangelos Liatsikos; Cristian Fiori
Journal:  World J Urol       Date:  2017-11-10       Impact factor: 4.226

7.  Intraoperative utilization of advanced imaging modalities in a complex kidney stone case: a pilot case study.

Authors:  Andrew R Christiansen; Rami M Shorti; Cory D Smith; William C Prows; Jay T Bishoff
Journal:  World J Urol       Date:  2018-03-15       Impact factor: 4.226

Review 8.  Three dimensional models in uro-oncology: a future built with additive fabrication.

Authors:  Todd G Manning; Jonathan S O'Brien; Daniel Christidis; Marlon Perera; Jasamine Coles-Black; Jason Chuen; Damien M Bolton; Nathan Lawrentschuk
Journal:  World J Urol       Date:  2018-01-25       Impact factor: 4.226

Review 9.  An overview on 3D printing for abdominal surgery.

Authors:  Andrea Pietrabissa; Stefania Marconi; Erika Negrello; Valeria Mauri; Andrea Peri; Luigi Pugliese; Enrico Maria Marone; Ferdinando Auricchio
Journal:  Surg Endosc       Date:  2019-10-11       Impact factor: 4.584

10.  Impact of 3D Printing Technology on Comprehension of Surgical Anatomy of Retroperitoneal Tumor.

Authors:  Tianyou Yang; Shuwen Lin; Tianbao Tan; Jiliang Yang; Jing Pan; Chao Hu; Jiahao Li; Yan Zou
Journal:  World J Surg       Date:  2018-08       Impact factor: 3.352

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